Michael Furr
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Software Engineering Research 7
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- Logic, programming, and type systems 6
- Security and Verification in Computing 1
- Co-authors
- Jeffrey S. Foster (8 shared papers)Jong-hoon An (5 shared papers)Michael Hicks (3 shared papers)Anil K. Chaturvedi (1 shared paper)Cari M. Kitahara (1 shared paper)Troy J. Kemp (1 shared paper)Neil E. Caporaso (1 shared paper)Lígia A. Pinto (1 shared paper)
- Journals
- ACM SIGPLAN Notices (2 papers)Residential Treatment for Children & Youth (1 paper)JNCI Journal of the National Cancer Institute (1 paper)ACM Transactions on Programming Languages and Systems (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Michael Furr
9 papers receiving 558 citations
Peers
Comparison fields: 5 of 85
- Software 147
- Hardware and Architecture 75
- Information Systems 226
- Biological Psychiatry 17
- Artificial Intelligence 222
Countries citing papers authored by Michael Furr
This map shows the geographic impact of Michael Furr's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Furr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Furr more than expected).
Fields of papers citing papers by Michael Furr
This network shows the impact of papers produced by Michael Furr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Furr. The network helps show where Michael Furr may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael Furr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 250 | |
| 2 | 2009 | 107 | |
| 3 | 2009 | 49 | |
| 4 | 2005 | 44 | |
| 5 | 2005 | 43 | |
| 6 | 2009 | 40 | |
| 7 | 2008 | 19 | |
| 8 | 2009 | 18 | |
| 9 | 2000 | 4 | |
| 10 | 2009 | 0 |
About Michael Furr
Michael Furr is a scholar working on Information Systems, Artificial Intelligence, Software, Social Psychology and Clinical Psychology, having authored 10 papers that have together received 574 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (7 papers), Software Engineering Research (7 papers), Logic, programming, and type systems (6 papers), Attachment and Relationship Dynamics (1 paper), Scientific Computing and Data Management (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Security and Verification in Computing (1 paper) and Psychotherapy Techniques and Applications (1 paper). The work is most often cited by research in Software (147 citations), Hardware and Architecture (75 citations), Information Systems (226 citations), Biological Psychiatry (17 citations) and Artificial Intelligence (222 citations). Michael Furr has collaborated with scholars based in United States and China. Frequent co-authors include Jeffrey S. Foster, Jong-hoon An, Michael Hicks, Anil K. Chaturvedi, Cari M. Kitahara, Troy J. Kemp, Neil E. Caporaso, Lígia A. Pinto, Meredith S. Shiels and Mark P. Purdue. Their work appears in journals such as ACM SIGPLAN Notices, Residential Treatment for Children & Youth, JNCI Journal of the National Cancer Institute and ACM Transactions on Programming Languages and Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.